Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports.
- DOI
- 10.1007/s00034-022-02035-1
- Published
- 2022
- Container
- Circuits, systems, and signal processing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s00034-022-02035-1,
title = {Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports.},
author = {Bassiouni MM and Hegazy I and Rizk N and El-Dahshan EA and Salem AM},
year = {2022},
journal = {Circuits, systems, and signal processing},
doi = {10.1007/s00034-022-02035-1},
url = {https://doi.org/10.1007/s00034-022-02035-1}
}RIS
TY - JOUR TI - Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports. AU - Bassiouni MM AU - Hegazy I AU - Rizk N AU - El-Dahshan EA AU - Salem AM PY - 2022 JO - Circuits, systems, and signal processing DO - 10.1007/s00034-022-02035-1 UR - https://doi.org/10.1007/s00034-022-02035-1 ER -
APA
MM, B., I, H., N, R., EA, E., & AM, S. (2022). Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports.. Circuits, systems, and signal processing. https://doi.org/10.1007/s00034-022-02035-1
Source records
- pubmed · retrieved 2026-09-25T23:58:59.039Z